Optimizing Strategic Decisions of Organizations Using Artificial Intelligence with A Meta-Synthesis Approach

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Key Points

The aim is to optimize organizational strategic decisions by developing a comprehensive conceptual framework using artificial intelligence.
Conducted a systematic meta-synthesis review of 427 scholarly sources published from 2000 to 2025.
Selected 44 studies for final analysis based on methodological and content criteria.
Employed Sandelowski and Barroso's seven-phase framework for assessment.
Performed a Delphi study with 35 academic and organizational experts to validate findings, measuring consensus with Kendall's coefficient.
Identified five main categories for optimizing strategic decision-making via artificial intelligence: analytical and data-driven capabilities, strategic and adaptive intelligence, AI-based decision support technologies, organizational culture and structure, and change and innovation management.

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Meta-synthesis optimizes strategic decision-making in organizations, suggesting an integrated model for AI's role.

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Ahmadi et al. (2025) studied this question.

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